Triple

T30579742
Position Surface form Disambiguated ID Type / Status
Subject Abdul Rahman Yasin E778348 entity
Predicate residenceBeforeFugitiveStatus P170466 FINISHED
Object Jersey City, New Jersey, United States NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jersey City, New Jersey, United States | Statement: [Abdul Rahman Yasin, residenceBeforeFugitiveStatus, Jersey City, New Jersey, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: residenceBeforeFugitiveStatus
Context triple: [Abdul Rahman Yasin, residenceBeforeFugitiveStatus, Jersey City, New Jersey, United States]
  • A. residenceBeforeArrest
    Indicates that a person lived at a particular residence prior to the time of their arrest.
  • B. residenceBeforeImprisonment
    Indicates the place where an individual lived prior to being imprisoned.
  • C. residenceBeforeCrime
    Indicates that an entity’s place of residence existed or was established prior to the occurrence of a specified crime.
  • D. residenceBeforeAttacks
    Indicates that an entity’s place of residence is specified for the period prior to a particular attack or set of attacks.
  • E. residenceBeforeVoyage
    Indicates that an entity lived or was based at a particular location during a period preceding a specified voyage or journey.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f69063edbc81909e7735954aabee0b completed May 3, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69f68b7b03488190b1db5fde4c7dd6e5 completed May 2, 2026, 11:40 p.m.
PDg Predicate description generation batch_69f68f6584a88190a8c4d95c0c84bee9 completed May 2, 2026, 11:57 p.m.
Created at: April 29, 2026, 8:23 p.m.